Tolstoy Connector for AI agents.
6 live capabilities
Manage shoppable video funnels and interactive content through your AI client.
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Why people use Tolstoy
Tolstoy for Shoppable Video Management
This Connector lets you skip the tab-switching. You can just ask your agent to pull the revenue impact for your latest video or list your active projects. You get the data you need in a single conversation.
What Vinkius changes
You get a conversational interface for your entire Tolstoy video marketing suite.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Tracking revenue
An e-commerce owner asks for the conversion rate of a specific shoppable video to see if a sale is happening.
- Real-world use case 02
Organizing assets
A creator with 500+ videos asks the agent to show all folders so they can find a specific campaign.
- Real-world use case 03
Content updates
A marketing manager wants to add a new intro video and tells the agent to upload it from a URL.
Complete set · 6capabilities
The complete Tolstoy capability set.
These are the exact actions your AI can choose when you ask it to work with Tolstoy.
01—03
3 capabilities in this set.
Part of 6 available through Tolstoy.
- 01 Capability
Get video analytics
Get specific performance metrics like plays and conversion rates for your content. You'll know exactly how your shoppable funnels are performing.
- 02 Capability
List folders
See how your video assets are organized into different folders. This makes it easy to navigate a large media library.
- 03 Capability
List interactive projects
View all your branching video flows and interactive experiences. Stay organized as you build out complex video paths.
04—06
3 capabilities in this set.
Part of 6 available through Tolstoy.
- 04 Capability
List videos
Get a full list of every video currently in your Tolstoy account. Use this to quickly scan your entire content library.
- 05 Capability
List webhooks
See all your configured webhooks to make sure your real-time notifications are active. This helps you stay on top of your video alerts without checking the dashboard.
- 06 Capability
Upload video
Send a new video file to your Tolstoy library from your AI client. It's the fastest way to get new assets into your production pipeline.
Set up in minutes
One URL. Then ask Tolstoy to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Tolstoy from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_tCCENuk3rXDW8ff6FlfE02zbdodYfc3w01UReGKw/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Tolstoy, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Tolstoy for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_tCCENuk3rXDW8ff6FlfE02zbdodYfc3w01UReGKw/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Tolstoy URL.
- Step 03
Save and start
Save the connection and enable Tolstoy in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"tolstoy": {
"url": "https://edge.vinkius.com/vk_preview_tCCENuk3rXDW8ff6FlfE02zbdodYfc3w01UReGKw/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Tolstoy
Open Agent mode in chat and ask: "Using Tolstoy, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"tolstoy": {
"url": "https://edge.vinkius.com/vk_preview_tCCENuk3rXDW8ff6FlfE02zbdodYfc3w01UReGKw/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Tolstoy
Ask Copilot: "Using Tolstoy, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"tolstoy": {
"url": "https://edge.vinkius.com/vk_preview_tCCENuk3rXDW8ff6FlfE02zbdodYfc3w01UReGKw/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Tolstoy
Open Cascade and ask: "Using Tolstoy, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"tolstoy": {
"url": "https://edge.vinkius.com/vk_preview_tCCENuk3rXDW8ff6FlfE02zbdodYfc3w01UReGKw/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Tolstoy
Ask Cline: "Using Tolstoy, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add tolstoy --transport http "https://edge.vinkius.com/vk_preview_tCCENuk3rXDW8ff6FlfE02zbdodYfc3w01UReGKw/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Tolstoy
Ask Claude: "Using Tolstoy, show me...". 6 tools are ready
Where the request belongs
Work Tolstoy can move forward.
This is for the e-commerce owner who's tired of manually tracking conversion rates across different video funnels or the content creator who wants to manage a massive library of assets without clicking through endless folders.
E-commerce Manager
Tracking the revenue impact of shoppable videos on a Tuesday afternoon to see which products are actually moving.
Content Creator
Quickly uploading and organizing new video assets for a campaign without leaving the workspace.
Marketing Analyst
Pulling performance summaries to see which interactive paths convert best for different audience segments.
Build the capability set
Add more capabilities.
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Bring your own AI
Change the model, client or framework. Keep Tolstoy connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Tolstoy.
The practical details behind the request, access and result.
Can the Tolstoy MCP help me track sales?
Yes, it pulls conversion rates and revenue impact so you can see how your shoppable videos are performing.
How do I see my video folders?
You can just ask your agent to list your folders, and it will show you how your entire media library is organized.
Can I use this to upload content?
Yes, you can tell your agent to upload a new video directly to your library using a URL.
Does it show my interactive flows?
It can list all your interactive video projects so you can manage your branching paths easily.
Can it check my webhooks?
Yes, you can ask to see your webhooks to make sure your real-time notifications are still active.
Is this for e-commerce?
It's specifically great for e-commerce owners who use shoppable video funnels to drive sales.
Can I see the conversion rate for my interactive videos via AI?
Yes! Use the get_video_analytics capability. Your agent will retrieve detailed performance metrics, including plays and the percentage of users who converted through the interactive elements.
How do I import a new video into my library using the AI?
Use the upload_video action and provide the public URL of the video file. You can also specify an optional name for the video in your Tolstoy library.
Is it possible to list all my branching video projects?
Absolutely. Use the list_interactive_projects capability to retrieve a directory of all your interactive flows and branching video experiences.
One connection away
Give your agent a direct line to Tolstoy.
Connect Tolstoy once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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